The standard Ricardian model of competition has a fixed number of firms, each with limited capacity and differential exogenous costs or qualities. In this paper, we introduce a real entry process by formulating a multistage Ricardian equilibrium model with free entry and stochastic product...

In this paper, we present our study on a hybrid stochastic volatility model incorporating local volatility for pricing options in the foreign exchange (FX) market. The hybrid stochastic-local volatility model (SLV) could match the implied volatility surface well and meanwhile shows the...

Generalising the idea of the classical EM algorithm that is widely used for computing maximum likelihood estimates, we propose an EM-Control (EM-C) algorithm for solving multi-period finite time horizon stochastic control problems. The new algorithm sequentially updates the control policies in...

We show that the quotient of Levy processes of jump-diffusion type has a fat-taileddistribution. An application is to price theory in economics, with the result that fat tails ariseendogenously from modeling of price change based on an excess demand analysis resulting in aquotient of arbitrarily...

In contradiction to expected utility theory, various studies find that splitting events or attributes into subevents and subattributes can reverse a decision maker's choices. Most notably, these effects can induce first-order stochastic dominated choices. These violations of first-order...

I study how boundedly rational agents can learn the solution to an infinite horizon optimal consumption problem under uncertainty and liquidity constraints. I present conditions for the existence of an optimal linear consumption rule and characterize it. Additionally, I use an empirically...

I study how boundedly rational agents can learn a "good" solution to an infinite horizon optimal consumption problem under uncertainty and liquidity constraints. Using an empirically plausible theory of learning I propose a class of adaptive learning algorithms that agents might use to choose a...

We contrast a standard deterministic signaling game with one where the signal-generating mechanism is stochastic. With stochastic signals a unique equilibrium emerges that involves separation and has intuitive comparative-static properties as the degree of signaling depends on the prior type...

We present a model of firm investment under uncertainty and partial irreversibility in which uncertainty is represented by a jump diffusion. This allows to represent both the continuous Gaussian volatility and the discontinuous uncertainty related to information arrival, sudden changes and large...

This paper presents a new string term structured model with stochastic volatility calibrated with futures and options market data. I use interest rate options to build a time series of the variance of the factors that drive the interest rates (level, slope, and curvature). In addition, the...